{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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mRQFkHNFYxWFAUc0SURBQVi3V7l076EbywEa9TrWmEYWuSxgPJ2WEXgVyGuHj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\nwSO/B0Ch7PP1554EoBzB+9/wZgD2zU0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ghOXsI3NfoMLifYPU4Mp7tGZ86sd+/KFt/EGG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AJydXUFO44UqhW+fiiM2T+z3W7DZfFYlUUYsY+kIWzc+Cpprm1tXcDufSIbJOEUl7hica2+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eVzRRCh8xbAo1zx0YKM9EGFsgZBSKiFBymmkdeAvF9qU2b3/VOeV/4+7vkgsb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jDM6J5yh/C6XeTx52e9KMdSHf5P/uQ1Dg+crNk4ex6/VR4vioFk0kWeYm/6CPJU60phcbFRskY8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\nvps+6NEaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcfa45bba50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ojo+PAZicnKTb7bK3t8fe3h5msxmTycSTJ09kH7jdbnK5HKenp4JqpdNpTCYTZ2dnmM1m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\n0larFZlMRnl1JISbTCZdL7ro3G63CjCOAhmOHg6HxXUjtd7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a2qrij2NBjhs55qyoqEBe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\nY0ySJKmh3xR7c3/jSdt/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf79c56ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Inline Question #1:** Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your Answer**: \n",
    "- Distinctly bright rows are caused by images in the test set who are very different than ALL the images in the training set.\n",
    "- An image in the training set that is very different than all images in the test set. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 22.514492 seconds\n",
      "One loop version took 21.716914 seconds\n",
      "No loop version took 0.197620 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# you should see significantly faster performance with the fully vectorized implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "..........k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "\n",
    "X_train_folds=np.array_split(X_train, num_folds)\n",
    "y_train_folds=np.array_split(y_train, num_folds)\n",
    "\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "cv_fold=list(range(num_folds)) \n",
    "\n",
    "# Import useful libraries\n",
    "import sys\n",
    "\n",
    "# Binary variable to print extra info within the loop \n",
    "Verbose=False\n",
    "\n",
    "for k in k_choices:\n",
    "    if Verbose:\n",
    "        print('Cross-validating for %i neighbours' %k)\n",
    "    else:\n",
    "        sys.stdout.write('.')\n",
    "    k_to_accuracies[k]=[]\n",
    "    for i in cv_fold:\n",
    "        X_cv_training=np.vstack([X_train_folds[x] for x in cv_fold if x!=i])\n",
    "        y_cv_training=np.hstack([y_train_folds[x] for x in cv_fold if x!=i])\n",
    "        X_cv_test=X_train_folds[i]\n",
    "        y_cv_test=y_train_folds[i]\n",
    "        \n",
    "        clf=KNearestNeighbor()\n",
    "        clf.train(X_cv_training,y_cv_training)\n",
    "        \n",
    "        y_pred=clf.predict(X_cv_test, k=k, num_loops=0)\n",
    "        \n",
    "        k_to_accuracies[k].append(float(np.sum(y_pred==y_cv_test))/y_pred.shape[0])      \n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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fllNf53jqZ+8wYcZAhpyeGe6yjktOTo7CmYiInHR0G7QT2/B+KYufXUd9nQPgwL5qFj+7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\n1NtuB1Zl5krgW8CnRr3+CeCH9aqxLjZcDZtuhQd+BJc+s3Q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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcf79c00d50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
